What is the main purpose of the softmax function in a CNN?

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Question: What is the main purpose of the softmax function in a CNN?

Options:

Correct Answer: To normalize the output to a probability distribution

Solution:

The softmax function normalizes the output of the final layer to a probability distribution over multiple classes in classification tasks.

What is the main purpose of the softmax function in a CNN?

What is the main purpose of the softmax function in a CNN?

Step 1: Understand that a CNN (Convolutional Neural Network) is used for classification tasks, where we want to categorize input data into different classes.
Step 2: After processing the input data through the CNN layers, the final layer produces raw output scores for each class.
Step 3: These raw scores can be any real numbers and do not represent probabilities yet.
Step 4: The softmax function takes these raw scores and transforms them into values between 0 and 1.
Step 5: The output values from the softmax function represent the probability of each class, and they all add up to 1.
Step 6: This probability distribution helps in making decisions about which class the input data most likely belongs to.

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